Overview of Day - NLG Consulting · MATHia: New Directions in AI Steve Ritter: “We want to solve...

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Overview of Day Mini-Lecture - Questions / Issues Presentation: AI in Education Activity 1: What is AI? Introduction to Week 7: Design Thinking

Transcript of Overview of Day - NLG Consulting · MATHia: New Directions in AI Steve Ritter: “We want to solve...

Page 1: Overview of Day - NLG Consulting · MATHia: New Directions in AI Steve Ritter: “We want to solve math problems not necessarily in the best way, but in the way that students solve

Overview of Day ●  Mini-Lecture - Questions / Issues ●  Presentation: AI in Education ●  Activity 1: What is AI? ●  Introduction to Week 7: Design Thinking

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Questions / Issues

DRIVING QUESTION: How will Artificial Intelligence impact Learning and Work?

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Activity: What is AI?

•  Write as many ideas as you can think of that you think about when you hear the words “Artificial Intelligence.”

•  Put each idea on a Post-It Note. Try to keep your ideas to no more than 3-5 words

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What is AI?

Field of computer science focused on systems that can “think” independently to solve problems.

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Ingredients of Contemporary AI

Machine Learning

Neural Networks

Deep Learning

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Ways to Train AI Systems

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Machine Language at Work

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Potential of AI in K-12 Micro-personalized

learning Pedagogical support

for teachers Insight for

administrators

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AI in Education: Now and the Future Mixed Reality: Montour

Augmented Reality: Montour

IBM’s Watson Classroom Cognitive Tutor: MATHia

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Carnegie Learning: Cognitive Tutor ●  Developed out

of learning science research at Stanford and Carnegie Mellon

●  Began in 1980s

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MATHia: New Directions in AI

Steve Ritter: “We want to solve math problems not necessarily in the best way, but in the way that students solve problems…. So when a student makes a mistake, we know why.”

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IBM’s Watson Classroom

●  Watson Wins Jeopardy

●  Jill Watson Goes to College

●  Watson gives cancer doctors a new tool

●  Watson takes on Education

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Carnegie Mellon: Mixed Reality Ken Koedinger: Because the AI vision algorithms can “see” what students are doing, the system can provide targeted and structured— but minimal — guidance that’s “very much oriented towards active learning and maximizing students’ constructing their own knowledge.”

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Norilla in Action: Mixed Reality ●  AI + 3D learning =

force multiplier. ●  5 Times better

learning compared with video

●  2 Times better than hands-on

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Focus on Learning

“Montour School District is Student-Centered… Future-Focused. Montour’s pioneering AI initiative will provide students with expanded inquiry-based learning opportunities and a platform to interact with data. Our goal is to empower students to be creators of the future.”

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Time to Reflect Based on what you’ve heard about AI in Education what do you think Montour incorporated into their middle school program – the first comprehensive approach in the country?

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Focus for Learning: Montour MS •  Digital Ethics •  Data Literacy •  Autonomous Robotics •  Music •  Creative Problem-solving •  Career Awareness

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Autonomous Robotics

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Autonomous Robotics First Comprehensive K-12 AI program to “use AI to change the world” (Justin Aglio)

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Digital Ethics

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AI Music Whether you need music for a video, podcast, or another project, ... Creative AI quickly makes music that fits the exact style, length, and structure you want.

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Problem Solving: PBL online I am not sure I have EVER seen students so enthusiastic to not only learn, but to demonstrate and present to me what they learned about computer programming and artificial intelligence. - Jamie Sterling (Carnegie Learning)

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World AI Competition for Kids

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Higher Education Success Stories

Deakin Genie ●  Chat Interface ●  Voice Recognition ●  Machine Learning

Pounce ●  Chat Interface ●  Address “Summer Melt” ●  21% reduction

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Issue: Voice-activated Devices Lynette Attai: “Some schools are beginning to use tools like Alexa, but they need to be very cautious that here is also a very complex matrix of federal and state student data privacy laws, and since many of the commercial AI products were not initially built for schools, some have not yet been configured to work within those requirements.”

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Tips from Experts ●  Get Smart about Data

(Donna Williams) ○  Algorithmic Bias ○  Algorithmic Aversion ○  Over-reliance on

Algorithms

●  Take Stock of your Technology Readiness

●  Train Teachers ●  Protect and Model Safe,

Ethical Use of Data ●  Partner with Experts

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Week 6: Design Thinking

Read: article Energy Innovation Center Design Challenges View: Video or other resources Expert: Norton Gusky